Job Description DevOps / MLOps Engineer
Location: Bengaluru (Hybrid)
Experience: 5-8 Years
Employment Type: Full-Time
Role Summary
We are seeking a skilled
DevOps & MLOps Engineer with 5-8 years of experience to build, automate, and manage CI/CD pipelines, cloud infrastructure, and machine learning operational workflows. The ideal candidate should possess strong expertise in Azure Cloud, DevOps practices, containerization, infrastructure automation, and ML model deployment and monitoring.
Key Responsibilities
- Design and implement CI/CD pipelines for application and ML model deployments.
- Automate infrastructure provisioning using Infrastructure as Code (IaC).
- Deploy, manage, and optimize machine learning models in production environments.
- Build and maintain MLOps pipelines for model training, testing, deployment, and monitoring.
- Manage Azure cloud infrastructure, networking, and security.
- Configure and support Kubernetes clusters and containerized applications.
- Implement monitoring, observability, alerting, and logging solutions.
- Collaborate with Data Scientists, Data Engineers, and Application Teams.
- Automate releases and environment provisioning using Azure DevOps.
- Establish version control, model registry, and artifact management processes.
- Implement security best practices, RBAC, secrets management, and compliance controls.
- Optimize cloud infrastructure costs and resource utilization.
- Troubleshoot production issues and perform root cause analysis.
- Support disaster recovery, backup, and high-availability solutions.
- Drive DevOps and MLOps best practices across project teams.
Experience Requirements
- 5-8 years of overall IT experience.
- 3+ years of Azure DevOps experience.
- 2+ years of MLOps implementation experience.
- Experience deploying ML models into production environments.
- Strong hands-on expertise in CI/CD and Infrastructure as Code.
- Experience supporting enterprise-scale cloud platforms.
Mandatory Skills
DevOps
- Azure DevOps
- CI/CD Pipeline Development
- Git / GitHub / GitHub Actions
- Terraform
- ARM/Bicep Templates
- Kubernetes (AKS)
- Docker
- Linux Administration
- Shell Scripting / Python
MLOps
- Azure Machine Learning
- ML Model Deployment & Monitoring
- ML Pipelines
- Model Registry & Versioning
- Feature Store Concepts
- Model Performance Monitoring
- ML Experiment Tracking
- Data Drift & Model Drift Monitoring
Cloud & Data Platform
- Microsoft Azure
- Azure Databricks
- Azure Storage / ADLS Gen2
- Azure Key Vault
- Azure Monitor / Log Analytics
- Application Insights
Preferred Certifications
- Microsoft Azure DevOps Engineer Expert (AZ-400)
- Azure Administrator (AZ-104)
- Azure AI Engineer Associate (AI-102)
- Databricks Certified Professional
- Kubernetes Certification (CKA/CKAD)
Azure DevOps
